C3MAAD: Multi-Source Object Recognition Algorithm
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Version 1.0: Support to the CORALS 3.0 Planner for the 2012 Rim of the Pacific Exercise

In order to carry out integrated air & missile defence and provide anti-ship missile defence, the Royal Canadian Navy is meant to conduct naval Command and Control. In this report, the problem of object recognition is studied and an object recognition algorithm is developed to support the threat evaluation, the engageability assessment and the combat power management processes. The new algorithm, called Multi-Source Object Recognition , is specifically suited for a Halifax-class frigate. While it concentrates mostly on the recognition of anti-ship missiles, it is also designed for the recognition of broad classes of aircraft such as jet fighters , surveillance aircraft and helicopters, for instance. With the main objective of providing object recognition , it is integrated to the COmbat Resource ALiocation Support (CORALS) software in both a simulation and a live ship­ based setup. The setup was adapted in preparation for the integration on a Halifax­ class frigate and for the participation to the 2012 international Rim of the Pacific Exercise (RIMPAC).